RCUK-CIAT Newton Fund Advancing sustainable forage-based livestock production systems using multi-source remote sensing and social science approaches

RCUK-CIAT牛顿基金利用多源遥感和社会科学方法推进可持续的基于饲料的畜牧生产系统

• 批准号: BB/R022879/1
• 负责人: Brian Barrett
• 金额: $ 13.91万
• 依托单位: University of Glasgow
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2018
• 资助国家: 英国
• 起止时间: 2018 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=BB%2FR022879%2F1
• 关键词: RCUK; CIAT; Newton; Fund; Advancing

Agriculture and livestock production have historically been one of the major components of Colombian economic development and it is one of the top countries in the world in terms of greatest agricultural land expansion potential. Approximately 34% of the land area (~40m Ha) is used for livestock activities, with most pastures dedicated to extensive grazing systems. Agriculture is a critical source of employment in rural Colombia and is one of the sectors most affected by climate and climate change and where solutions to key challenges affecting the productivity and sustainability of pastures and the livestock sector are required. This collaborative project between University of Glasgow (UofG) University of Bristol (UofB) and CIAT will bring together cross-disciplinary perspectives and methodologies to develop RS-based approaches for forage monitoring and management at local and regional levels. The specific objectives are to: 1) develop co-designed work-flows for acquiring, processing and analysis of multi-dimensional multispectral and radar data for trial sites at CIAT headquarters; 2) investigate operational functions for extraction of grass growth and quality metrics from combined airborne/spaceborne/in situ datasets and develop a framework for a forage management decision support system; and 3) investigate methodologies for engagement with smallholders and determine attitudes to and potential barriers of incorporation of such technologies and their outputs into practice. The project will deliver new data to establish a baseline understanding of the capabilities of multi-source remote sensing and predictive analysis tools to provide reliable and consistent information on forage quantity and quality and smallholder capability and willingness to adopt such technologies. Outputs from the project will directly inform forage production management activities and will be communicated to stakeholders via a project website, an end-of-project workshop, and through promotion at further dissemination events run by CIAT.

农业和畜牧业生产历来是哥伦比亚经济发展的主要组成部分之一，就农业用地扩展潜力而言，哥伦比亚是世界上最大的国家之一。大约34%的土地面积（约40万公顷）用于畜牧活动，大多数牧场专门用于广泛的放牧系统。农业是哥伦比亚农村就业的重要来源，也是受气候和气候变化影响最严重的部门之一，需要解决影响牧场和畜牧业生产力和可持续性的关键挑战。格拉斯哥大学（UofG）、布里斯托尔大学（UofB）和CIAT之间的这个合作项目将汇集跨学科的观点和方法，以开发基于rs的方法，用于地方和区域层面的饲料监测和管理。具体目标是：1)制定协同设计的工作流程，以获取、处理和分析CIAT总部试验点的多维多光谱和雷达数据；2)研究从机载/星载/原位数据集中提取牧草生长和质量指标的操作功能，并开发牧草管理决策支持系统框架；3)调查与小农接触的方法，确定对将这些技术及其产出纳入实践的态度和潜在障碍。该项目将提供新的数据，以建立对多源遥感和预测分析工具能力的基本认识，从而提供有关饲料数量和质量以及小农采用此类技术的能力和意愿的可靠和一致的信息。该项目的产出将直接为饲料生产管理活动提供信息，并将通过项目网站、项目结束研讨会以及CIAT举办的进一步宣传活动向利益相关者进行宣传。